Alternatives and similar repositories for wide-sparse-nets:

Users that are interested in wide-sparse-nets are comparing it to the libraries listed below

• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 3 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆18Updated 4 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 4 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆16Updated 4 years ago
• evcu / pytorchpruner
  ☆22Updated 6 years ago
• katelyn98 / CorruptionRobustness
  We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…
  ☆15Updated 3 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆48Updated 3 years ago
• hongyanz / multibranch
  Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
  ☆20Updated 4 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆17Updated 3 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆27Updated last year
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• js-d / sim_metric
  ☆35Updated last year
• fmi-basel / neural-tangent-transfer
  Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
  ☆13Updated 4 years ago
• bbartoldson / GeneralizationStabilityTradeoff
  Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.
  ☆14Updated 4 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆58Updated 3 years ago
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• VITA-Group / ToST
  [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang
  ☆27Updated 2 years ago
• nick11roberts / XD
  ☆11Updated 2 years ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 6 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆22Updated 4 years ago